Adaptive asymptotic Bayesian equalization using a signal space partitioning technique

Abstract

The Bayesian solution is known to be optimal for symbol-by-symbol equalizers; however, its computational complexity is usually very high. The signal space partitioning technique has been proposed to reduce complexity. It was shown that the decision boundary of the equalizer consists of a set of hyperplanes. The disadvantage of existing approaches is that… (More)
DOI: 10.1109/TSP.2004.826162

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